WO2012037577A2 - Poursuite de pas variables - Google Patents
Poursuite de pas variables Download PDFInfo
- Publication number
- WO2012037577A2 WO2012037577A2 PCT/US2011/052228 US2011052228W WO2012037577A2 WO 2012037577 A2 WO2012037577 A2 WO 2012037577A2 US 2011052228 W US2011052228 W US 2011052228W WO 2012037577 A2 WO2012037577 A2 WO 2012037577A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- asset
- movement
- amplitude
- person
- accordance
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C22/00—Measuring distance traversed on the ground by vehicles, persons, animals or other moving solid bodies, e.g. using odometers, using pedometers
- G01C22/006—Pedometers
Definitions
- FIG. 3 is a graph of step tracking based on a rate of change in elevation in accordance with an example of the present technology
- WiMAX WiMAX
- 3GPP Third Generation Partnership Project
- LTE Long Term Evolution
- the monitoring device 115 carried by the person detects the movement of the person and transmits the detected information as data signals to the monitoring station 110.
- the detected information can include location information in three orthogonal dimensions (i.e. x, y, and z axes) that is collected at a predetermined rate as a person moves.
- the data signals can be stored in a database 135 or memory 150 and can be used to approximate a path or position of the person. This path or position may be represented tabularly, graphically, or in another desired format at the monitoring station, and may be presented on a display device to a monitoring attendant.
- the correction of stride length can be accomplished by the step length modification module 140 mentioned above regarding FIG. 1 using a model or graph.
- a graph is shown which illustrates an example correction factor for step length based on incline.
- the horizontal axis 305 represents a step size, where points farther to the right of the origin 315 represent a larger step size, or a larger stride.
- the vertical axis 310 represents a rate of change in elevation, or a change in elevation per stride. As described above, the rate of change in elevation can be measured using barometers, accelerometers, and the like.
- the standard stride length is represented as where the varying stride length line crosses the horizontal axis.
- the correction factor can be determined from experimental data illustrating specific sequences of stride versus elevation change to indicate whether a person is going up one stair, multiple stairs, an incline, etc.
- the stair lengths can be determined from standard stair measurements for the local area where the tracking is taking place. For example, local building codes can be referenced to determine standard stair sizes.
- the delay is typically on the order of 3 to 5 seconds and may vary depending on the barometer used.
- the graph shown illustrates an actual change in elevation (represented by the top line 410, or the first line to go upward) as compared with a measured change in elevation (the second, or bottom line 415).
- the horizontal axis 415 represents time and the vertical axis 420 represents elevation.
- the actual change may be 3.5 seconds sooner in time than the measured change.
- the velocity signal can be slowed down using a First In First Out (FIFO) buffer. The steps are placed in and removed when FIFO (FIFO) buffer.
- FIFO First In First Out
- movement modes include:
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Navigation (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Burglar Alarm Systems (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Abstract
L'invention concerne un dispositif de poursuite de pas variables dans lequel un poste de surveillance peut fonctionner pour recevoir des signaux de données représentant un mouvement de pas d'une ressource tel que détecté par un dispositif de surveillance porté par ladite ressource. Une base de données stocke une longueur de pas de la ressource. Un module de modification de longueur de pas modifie la longueur de pas en fonction de l'énergie, et/ou de l'orientation de la ressource, et/ou de la direction et/ou de la fréquence associée(s) au mouvement de pas. Une position de la ressource est estimée par rapport à un emplacement connu en fonction de longueurs de pas cumulées.
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US38414110P | 2010-09-17 | 2010-09-17 | |
US61/384,141 | 2010-09-17 | ||
US13/236,522 US9170124B2 (en) | 2010-09-17 | 2011-09-19 | Variable step tracking |
US13/236,522 | 2011-09-19 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2012037577A2 true WO2012037577A2 (fr) | 2012-03-22 |
WO2012037577A3 WO2012037577A3 (fr) | 2012-07-05 |
Family
ID=45832296
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2011/052228 WO2012037577A2 (fr) | 2010-09-17 | 2011-09-19 | Poursuite de pas variables |
Country Status (2)
Country | Link |
---|---|
US (1) | US9170124B2 (fr) |
WO (1) | WO2012037577A2 (fr) |
Cited By (3)
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US8284100B2 (en) | 2010-10-08 | 2012-10-09 | HJ Laboratories, LLC | Providing indoor location, position, or tracking of a mobile computer using sensors |
CN102914303A (zh) * | 2012-10-11 | 2013-02-06 | 江苏科技大学 | 多移动机器人的智能空间系统及导航信息获取方法 |
GB2585861A (en) * | 2019-07-17 | 2021-01-27 | Waymap Ltd | Apparatus and associated methods for step length estimation |
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US10049595B1 (en) | 2011-03-18 | 2018-08-14 | Thomas C. Chuang | Athletic performance and technique monitoring |
US8460001B1 (en) * | 2011-04-14 | 2013-06-11 | Thomas C. Chuang | Athletic performance monitoring with overstride detection |
US10330491B2 (en) * | 2011-10-10 | 2019-06-25 | Texas Instruments Incorporated | Robust step detection using low cost MEMS accelerometer in mobile applications, and processing methods, apparatus and systems |
US20130231889A1 (en) * | 2012-03-01 | 2013-09-05 | Lockheed Martin Corporation | Method and apparatus for an inertial navigation system |
US9533773B1 (en) * | 2012-04-30 | 2017-01-03 | The Boeing Company | Methods and systems for automated vehicle asset tracking |
GB201211994D0 (en) * | 2012-07-05 | 2012-08-22 | Sensewhere Ltd | Method of estimating position of user device |
US20140129177A1 (en) * | 2012-11-07 | 2014-05-08 | Motorola Mobility Llc | Systems and Methods for Frequency-Based Stride Length Correction in a Pedometer Device |
JP6229830B2 (ja) * | 2013-09-11 | 2017-11-15 | カシオ計算機株式会社 | 運動支援装置及び運動支援方法、運動支援プログラム |
US9506761B2 (en) | 2014-01-10 | 2016-11-29 | Alcatel Lucent | Method and apparatus for indoor position tagging |
US10782135B2 (en) | 2016-04-11 | 2020-09-22 | The Regents Of The University Of Michigan | Magnetic beacon and inertial sensor localization technology |
US10418702B2 (en) | 2016-09-09 | 2019-09-17 | Viasat, Inc. | Methods and systems for performing antenna pointing to overcome effects of atmospheric scintillation |
US10670405B2 (en) | 2017-12-31 | 2020-06-02 | Immersion Networks, Inc. | Inertial measurement unit management with reduced rotational drift |
US11380343B2 (en) | 2019-09-12 | 2022-07-05 | Immersion Networks, Inc. | Systems and methods for processing high frequency audio signal |
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Cited By (14)
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US9176230B2 (en) | 2010-10-08 | 2015-11-03 | HJ Laboratories, LLC | Tracking a mobile computer indoors using Wi-Fi, motion, and environmental sensors |
US10962652B2 (en) | 2010-10-08 | 2021-03-30 | Samsung Electronics Co., Ltd. | Determining context of a mobile computer |
US8395968B2 (en) | 2010-10-08 | 2013-03-12 | HJ Laboratories, LLC | Providing indoor location, position, or tracking of a mobile computer using building information |
US8842496B2 (en) | 2010-10-08 | 2014-09-23 | HJ Laboratories, LLC | Providing indoor location, position, or tracking of a mobile computer using a room dimension |
US9110159B2 (en) | 2010-10-08 | 2015-08-18 | HJ Laboratories, LLC | Determining indoor location or position of a mobile computer using building information |
US9116230B2 (en) | 2010-10-08 | 2015-08-25 | HJ Laboratories, LLC | Determining floor location and movement of a mobile computer in a building |
US9244173B1 (en) | 2010-10-08 | 2016-01-26 | Samsung Electronics Co. Ltd. | Determining context of a mobile computer |
US8284100B2 (en) | 2010-10-08 | 2012-10-09 | HJ Laboratories, LLC | Providing indoor location, position, or tracking of a mobile computer using sensors |
US9182494B2 (en) | 2010-10-08 | 2015-11-10 | HJ Laboratories, LLC | Tracking a mobile computer indoors using wi-fi and motion sensor information |
US9684079B2 (en) | 2010-10-08 | 2017-06-20 | Samsung Electronics Co., Ltd. | Determining context of a mobile computer |
US10107916B2 (en) | 2010-10-08 | 2018-10-23 | Samsung Electronics Co., Ltd. | Determining context of a mobile computer |
CN102914303A (zh) * | 2012-10-11 | 2013-02-06 | 江苏科技大学 | 多移动机器人的智能空间系统及导航信息获取方法 |
GB2585861A (en) * | 2019-07-17 | 2021-01-27 | Waymap Ltd | Apparatus and associated methods for step length estimation |
GB2585861B (en) * | 2019-07-17 | 2023-09-13 | Waymap Ltd | Apparatus and associated methods for step length estimation |
Also Published As
Publication number | Publication date |
---|---|
WO2012037577A3 (fr) | 2012-07-05 |
US9170124B2 (en) | 2015-10-27 |
US20120239333A1 (en) | 2012-09-20 |
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